Better synchronizability in generalized adaptive networks

Jun Fang Zhu*, Ming Zhao, Wenwu Yu, Changsong ZHOU, Bing Hong Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)

Abstract

In this paper, to study the interaction between network structure and dynamical property in the context of synchronization, a previously proposed adaptive coupling method is generalized where the coupling strength of a node from its neighbors not only develops adaptively according to the local synchronization property between the node and its neighbors (dynamical part) but also is modulated by its local structure, degree of the node with the form 1/ kiα (topological part). We can show both numerically and analytically that the input coupling strength of the network after adaptation displays a power-law dependence on the degree, k-θ, where the exponent θ is controlled by α as θ= (1+α) /2. Compared to the original adaptive coupling method, after the addition of modulation, the distribution of the node's intensity is tunable and can be more homogenous with α 1, which results in better synchronizability. It is also found that the synchronization time can shrink greatly. Our theoretical work in the context of synchronization provides not only a deeper understanding of the interplay between structure and dynamics in real world systems, such as opinion formation and concensus, but also potential approaches to manipulate the global collective dynamics through local adaptive control.

Original languageEnglish
Article number026201
JournalPhysical Review E
Volume81
Issue number2
DOIs
Publication statusPublished - 1 Feb 2010

Scopus Subject Areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

Fingerprint

Dive into the research topics of 'Better synchronizability in generalized adaptive networks'. Together they form a unique fingerprint.

Cite this